- Title
- Using Big Data in a Master of Applied Statistics Unit
- Creator
- Bilgin, Ayse Aysin; Howley, Peter
- Relation
- Big Data in Education: Pedagogy and Research p. 65-87
- Relation
- Policy Implications of Research in Education 13
- Publisher Link
- http://dx.doi.org/10.1007/978-3-030-76841-6_3
- Publisher
- Springer
- Resource Type
- book chapter
- Date
- 2021
- Description
- There have been various discussions in the academic community, especially by Statistics Educators about Big Data in various fora. These include online discussion forums, round table discussions (such as World Statistics Congress), and during conference presentations (such as IASE satellite(s), IASE round table(s) and OZCOTS). Is it statistics or computing or both? However one defines it, Big Data is valued by industry, governments, and NGOs alike all around the world. Recent job advertisements are increasingly desiring skills in Big Data analysis, instead of statistical skills. Therefore, it is important to prepare graduates of our courses for their future work by providing opportunities to learn how to deal with big, complicated and complex data sets. This chapter provides a case study on the inclusion of Big Data into a Master of Applied Statistics unit, called data mining. The short history of the unit, topics of study, learning outcomes, assessment tasks, and how students were included in decision making for their projects is described before presenting two case studies from students’ projects.
- Subject
- statistics education research; big data; authentic assessments; case study
- Identifier
- http://hdl.handle.net/1959.13/1450875
- Identifier
- uon:44041
- Identifier
- ISBN:9783030768409
- Language
- eng
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